Open AccessA look at the Security and Privacy of Big Data
Author(s) -
Harshit Poddar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41155
Subject(s) - big data , computer science , data science , vagueness , field (mathematics) , categorization , variety (cybernetics) , vocabulary , the internet , internet privacy , world wide web , data mining , fuzzy logic , linguistics , philosophy , mathematics , artificial intelligence , pure mathematics
In recent years a lot of data is being generated every second. So much data is produced that our conventional data management tool is not enough for this. The data is growing day by day because of more uses of the internet as well as more users of the smartphone, social media networks, Health care, etc. So, because of this, we made a term known as Big Data. So, from above we can understand that big data is a collection of a very large amount of data as well as complex data. Data is generally stored in three forms are structured, unstructured, semi-structured data. To answer these questions, we will perform a small rule which is called a “systematic Literature review (SLR)” [1]. According to this rule, we will collect, categorize, analyze and give the conclusion from the top research papers, review papers, books, conferences, etc. The main contribution of this work lies in the comparative study of big data security and privacy. We will try to find the issues of privacy and security in big data but still, we require some more research in this field. Keywords: Big data, privacy, security, Hadoop framework, Volume, Velocity, Variety, Veracity, Vocabulary, Vagueness, Viability, Value, Database.